Social scientists and related workers, all other
SOC Code: 19-3099
Social scientists and related workers, all other carries a 45% AI exposure score (High automation risk), with a median annual wage of $100,340 and -1.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 40,800 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Social scientists and related workers, all other (SOC 19-3099) carries an AI exposure score of 45%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 40,800 workers in this occupation in 2024, and projects a -1.7% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $100,340, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Bachelor's degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Social scientists and related workers, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Define regional or local transportation planning problems or priorities.
- 2. Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.
- 3. Prepare reports or recommendations on transportation planning.
- 4. Collaborate with engineers to research, analyze, or resolve complex transportation design issues.
- 5. Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections.
- 6. Develop computer models to address transportation planning issues.
- 7. Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs.
- 8. Interpret data from traffic modeling software, geographic information systems, or associated databases.
- 9. Design transportation surveys to identify areas of public concern.
- 10. Collaborate with other professionals to develop sustainable transportation strategies at the local, regional, or national level.
Key Skills Required
- Reading Comprehension
- Active Listening
- Writing
- Speaking
- Critical Thinking
- Complex Problem Solving
- Judgment and Decision Making
- Active Learning
- Systems Evaluation
- Coordination
Knowledge Areas
- Transportation
- English Language
- Mathematics
- Geography
- Law and Government
- Computers and Electronics
- Administration and Management
- Engineering and Technology
- Customer and Personal Service
- Design
Frequently Asked Questions
Will AI replace Social scientists and related workers, all other?
Social scientists and related workers, all other has an AI exposure score of 45%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Social scientists and related workers, all other?
According to BLS Employment Projections 2024-2034, Social scientists and related workers, all other is projected to decline by 1.7% over the decade. Current employment stands at approximately 40,800 workers.
What skills are needed for Social scientists and related workers, all other?
Key skills for Social scientists and related workers, all other include Reading Comprehension, Active Listening, Writing, and others. Typical entry-level education is Bachelor's degree.
How much do Social scientists and related workers, all other earn?
The median annual wage for Social scientists and related workers, all other is $100,340, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Social scientists and related workers, all other?
The typical entry-level education for Social scientists and related workers, all other is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Social scientists and related workers, all other?
Social scientists and related workers, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).